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dc.contributor.author | Morales, D.X. | es_ES |
dc.contributor.author | Besanger, Y. | es_ES |
dc.contributor.author | Sami, S. | es_ES |
dc.contributor.author | Álvarez, Carlos | es_ES |
dc.date.accessioned | 2018-10-06T04:29:47Z | |
dc.date.available | 2018-10-06T04:29:47Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.issn | 0378-7796 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/109802 | |
dc.description.abstract | [EN] The Galapagos Islands are a fragile ecosystem, which belongs to Ecuador country. The supply of energy is through of combined technologies such as thermal, photovoltaic and wind. The government of Ecuador is fostering the policy zero CO2 emissions within the islands. In order to achieve this objective, some initiatives are carried out like replacing the conventional vehicles and the gas stoves by electrical ones. Taking into account this framework, it becomes vital to assess the impact of these new policies on the distribution network; for sure, this will change significantly the operation and control of Galapagos distribution grid. In addition, once determined the impact it is worth proposing smart strategies in order to deal with the load growth due to new services. Thus, this paper proposes an adapted and intelligent method for performing Demand Side Management in the Galapagos low voltage network, the proposal executes Demand Response in the presence of time of use pricing. An ingenious approach, which consists in modifying load curves by means of polynomial functions is presented; several scenarios with different strategies are analyzed, the main results show as the proposal strategy respect all the limits stablished by the regulator and as the rebound effect is annulated. Real field information has been used in the presented models.(C) 2017 Elsevier B.V. All rights reserved. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Electric Power Systems Research | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Smart Grids | es_ES |
dc.subject | LV network | es_ES |
dc.subject | Electrical vehicles | es_ES |
dc.subject | Demand Response | es_ES |
dc.subject | Distributed generation | es_ES |
dc.subject | Time of use | es_ES |
dc.subject | Optimal energy management | es_ES |
dc.subject | DSM | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Assessment of the impact of intelligent DSM methods in the Galapagos Islands toward a Smart Grid | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.epsr.2017.02.003 | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica | es_ES |
dc.description.bibliographicCitation | Morales, D.; Besanger, Y.; Sami, S.; Álvarez, C. (2017). Assessment of the impact of intelligent DSM methods in the Galapagos Islands toward a Smart Grid. Electric Power Systems Research. 146:308-320. doi:10.1016/j.epsr.2017.02.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.epsr.2017.02.003 | es_ES |
dc.description.upvformatpinicio | 308 | es_ES |
dc.description.upvformatpfin | 320 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 146 | es_ES |
dc.relation.pasarela | S\352416 | es_ES |